Evidence map›Paper›PMID 30365354›Full record

ArticleChronobiology international2019

Zeitgebers and their association with rest-activity patterns.

Mirja Quante, Sara Mariani, Jia Weng, Catherine R Marinac, Emily R Kaplan, Michael Rueschman, Jonathan A Mitchell, Peter James, J Aaron Hipp, Elizabeth M Cespedes Feliciano and 2 more

Open access · greenAbstract read
In one paragraph

Article in Chronobiology international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 63 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. The Anti-Elixir Triad: Non-Synced Circadian Rhythm, Gut Dysbiosis, and Telomeric Damage.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2025
    Review
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 6 institutions in 2 countries.

Mirja Quantea Department of Neonatology , University of Tuebingen , Tuebingen, Germany.ORCID 0000-0002-3097-4725
Sara Marianib Division of Sleep and Circadian Disorders, Department of Medicine , Brigham & Women's Hospital & Harvard Medical School , Boston MA.
Jia Wengb Division of Sleep and Circadian Disorders, Department of Medicine , Brigham & Women's Hospital & Harvard Medical School , Boston MA.
Catherine R Marinacc Division of Population Sciences, Department of Medical Oncology , Dana-Farber Cancer Institute , Boston , MA.
Emily R Kaplanb Division of Sleep and Circadian Disorders, Department of Medicine , Brigham & Women's Hospital & Harvard Medical School , Boston MA.
Michael Rueschmanb Division of Sleep and Circadian Disorders, Department of Medicine , Brigham & Women's Hospital & Harvard Medical School , Boston MA.
Jonathan A Mitchelld Division of Gastroenterology , Hepatology and Nutrition, Children's Hospital of Philadelphia , Philadelphia , PA.
Peter Jamesf Harvard Medical School and Harvard Pilgrim Health Care Institute , Boston , MA.
J Aaron Hippg Department of Parks , Recreation, and Tourism Management; Center for Geospatial Analytics; and Center for Human Health and the Environment, NC State University , Raleigh , NC.
Elizabeth M Cespedes Felicianoh Division of Research , Kaiser Permanente Northern California , Oakland , CA.
Rui Wangb Division of Sleep and Circadian Disorders, Department of Medicine , Brigham & Women's Hospital & Harvard Medical School , Boston MA.
Susan Redlineb Division of Sleep and Circadian Disorders, Department of Medicine , Brigham & Women's Hospital & Harvard Medical School , Boston MA.
Brigham and Women's Hospital · USCalifornia Department of Parks and Recreation · USChildren's Hospital of Philadelphia · USDana-Farber Cancer Institute · USHarvard University · USKaiser Permanente · US

Funding

TREC Coordination CenterU01CA116850 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI THORNQUIST, MARK · 2005 to 2016
$13.3M
Sleep Duration, Childhood Energy Balance, and Insulin Resistance in AdolescenceU54CA155626 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI HU, FRANK B · 2011 to 2015
$9.6M
The Women In Steady Exercise Research (WISER) SurwVor TrialU54CA155850 · NCI · UNIVERSITY OF PENNSYLVANIA · PI CHODOSH, LEWIS A · 2011 to 2015
$9.1M
UCSD Biorepository Shared ResourceU54CA155435 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PATTERSON, RUTH E · 2011 to 2015
$9.1M
Worksite Policies and neighborhood Influences on Obesity and Cancer RiskU54CA155496 · NCI · WASHINGTON UNIVERSITY · PI COLDITZ, GRAHAM A. · 2011 to 2016
$9.0M
National Sleep Research Resource (NSRR)R24HL114473 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI REDLINE, SUSAN S., ZHANG, GUO-QIANG · 2013 to 2017
$7.5M
Phenotypic and Molecular Signatures for Sleep Apnea and Related MorbiditiesR35HL135818 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI REDLINE, SUSAN S. · 2017 to 2023
$7.2M
Sleep, Energetic Behaviors, and Adolescent Obesity during the Transition from Middle to High SchoolK01HL123612 · NHLBI · CHILDREN'S HOSP OF PHILADELPHIA · PI MITCHELL, JONATHAN ANDREW · 2015 to 2019
$787k
High Resolution Measures of Behavioral Cancer Risk Factors From Mobile TechnologyR00CA201542 · NCI · HARVARD PILGRIM HEALTH CARE, INC. · PI JAMES, PETER · 2017 to 2019
$747k
High resolution measures of behavioral cancer risk factors from mobile technologyK99CA201542 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI JAMES, PETER · 2016 to 2016
$129k
Obesity, Molecular Biomarkers, and Multiple Myeloma PrognosisF32CA220859 · NCI · DANA-FARBER CANCER INST · PI MARINAC, CATHERINE · 2018 to 2019
$94k
Prolonged Overnight Fasting for Reducing Breast Cancer RiskF31CA183125 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MARINAC, CATHERINE · 2014 to 2015
$64k
NCI NIH HHS F31 CA183125NCI NIH HHS F32 CA220859NCI NIH HHS K99 CA201542NCI NIH HHS R00 CA201542NCI NIH HHS U01 CA116850NCI NIH HHS U54 CA155435NCI NIH HHS U54 CA155496NCI NIH HHS U54 CA155626NCI NIH HHS U54 CA155850NHLBI NIH HHS K01 HL123612NHLBI NIH HHS R24 HL114473NHLBI NIH HHS R35 HL135818
6 · The paper itself

Abstract

Zeitgebers such as light, eating and physical activity provide input to the circadian clock. Chronic circadian misalignment is associated with significant adverse health effects. An improved understanding of the impact of the timing of zeitgebers on the stability of 24-hour rest-activity rhythm in free-living settings may identify behavioural and environmental intervention targets. A total of 133 healthy adults, aged 21-60 years, wore a wrist actigraph for 7 consecutive days. We applied a non-parametric analysis to activity counts to derive rest-activity patterns. We administered a questionnaire through a smartphone app to collect self-reported timing of light exposure, eating episodes and physical activity. To assess the relationship between timing exposures (first and last exposure to outdoor light, first exposure to indoor light, last eating episode, first eating episode, morning physical activity proportion, evening physical activity proportion) and rest-activity or sleep outcomes (bedtimes, total sleep time, inter-daily stability, intra-daily variability, L5 and M10 midpoint), we first calculated Spearman correlations, using the false discovery rate method to control for multiple comparisons. From those significant associations, we then fit regression models adjusting for age, sex, race, household income, education level, study site, body mass index, as well as physical activity. Finally, we tested for interaction between chronotype and each timing-related exposure and stratified the analysis by morning type. All zeitgebers, except for evening physical activity proportion, were correlated with at least four of the seven sleep and rest-activity outcomes. In adjusted analysis, later timing of first (after 6:30 to 7:45 AM versus earlier) and last exposure to indoor light (after 11:00 PM versus earlier) and first (after 7:45-9:45 AM versus earlier) and last eating episode (after 8:00-09:00 PM versus earlier) were associated with a shift of 0.60-1.39 hours to later bedtimes, M10 and L5 midpoints (i.e. timing of peak activities or inactivities). Later timing of first exposure to outdoor light (after 09:30 AM versus earlier) was also associated with 0.51 (95% CI: 0.19 to 0.83) hours longer total sleep time. Higher morning physical activity proportion (> 33%) was associated with 0.95 (95% CI: -1.38 to -0.53) hours earlier in-bed time and 0.69 (95% CI: -1.14 to -0.24) hours earlier out-of-bed time, 0.92 (95% CI: -1.41 to -0.42) hours earlier M10 and 0.96 (95% CI: -1.42 to -0.49) min earlier L5 midpoint. The results did not change substantially with further adjustment for total activity. There was a significant interaction between morning chronotype and first eating episode with rest-activity patterns (p < 0.05), with first eating episode associating with timing of activities only in non-morning type adults. Timing of zeitgebers was associated with sleep and rest-activity patterns, including bedtimes, L5 and M10 midpoint. Future research should evaluate the impact of manipulating zeitgebers on both circadian rhythms and health outcomes.

Indexed as

EatingExerciseLightRestActigraphyAdultBiological ClocksCircadian RhythmFemaleHumansMaleMiddle AgedSleepSurveys and QuestionnairesYoung AdultActigraphyphysical activityrest-activity patterns

Identifiers

PMID30365354
PMCPMC6492024
OpenAlexW2898462742

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.